Wind Energy Forecast in Complex Sites with a Hybrid Neural Network and CFD based Method

Author:

Castellani Francesco,Burlando Massimiliano,Taghizadeh Samad,Astolfi Davide,Piccioni Emanuele

Publisher

Elsevier BV

Reference24 articles.

1. Petersen EL, Mortensen NG, Landberg L, Højstrup J, Frank HP. Wind power meteorology. Risø-I-1206(EN). Roskilde, Denmark: Risø National Laboratory; 1997.

2. Aoife MF, Paul GL, Antonino M, Eamon J. Current methods and advances in forecasting of wind power generation. Renewable Energy Volume 37, Issue 1, 2012; p. 1-8.

3. Landberg L. Short-term prediction of local wind conditions. Journal of Wind Engineering and Industrial Aerodynamics 2001; 89 (3-4):235-45.

4. Cassola F, Burlando M. Wind speed and wind energy forecast through Kalman filtering of Numerical Weather prediction model output.

5. Kalogirou S, Neocleous C, Pashiardis S, Schizas C. Wind Speed Prediction Using Artificial Neural Networks In: European symposium on intelligent techniquesy; 1999.

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